The Evolutionary and Creative Processesin Biological Systems
Computational Biology and Bioinformatics
Volume 1, Issue 1, February 2013, Pages: 1-5
Received: Feb. 3, 2013;
Published: Feb. 20, 2013
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Mikhail Ignatyev, St-Petersburg State University of Aerospace Instrumentation, 67 Bolshaja Morskaja uliza, St-Petersburg, Russia
Daria Surzhenko, Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS, 44 Morisa Toresa prospect, St-Petersburg, Russia
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It is considered the computational models of biological systems with structured uncertainty which is determined by mean of number of the arbitrary coefficients. Any biological system interacts with its changing environment and its viability depends on its adaptability. The number of arbitrary coefficients in the structure of equivalent equations of biological system changes in the process of learning. In systems with more than six variables, the number of arbitrary coefficients increases first, and then, passing through the maximum, begins to decrease. This phenomenon makes it possible to explain the processes of system growth, complication and death in biological, economical and physical-engineering systems. The treatment processes are considered as the evolutionary processes, the genetic processes are considered as creative processes. We use the linguo-combinatorial method of investigation of complex systems, in taking key words for building equivalent equations. This approach permit to investigate the adaptability of different biological systems.
Adaptability, Combinatorial Simulation, Uncertainty, Appearance, Essence, General Systems Theory, Evolution, Creation, Physics, Biology, Social-Economics
To cite this article
The Evolutionary and Creative Processesin Biological Systems, Computational Biology and Bioinformatics.
Vol. 1, No. 1,
2013, pp. 1-5.
Orbely L. : Main problems and methods of evolutionary physiology. ( in Russian) Selected works, vol.1 (1961).
Ignatiev, M.B.: Golonomical automatic systems.(in Russian) Publ..AN USSR, Moscow-Leningrad , 204 p.(1963).
Ignatiev, M.:Simulation of Adaptational Maximim Phenomenon in Developing Systems. Proceedings of The SIMTEC’93 - 1993 International Simulation Technology Conference, San Francisco, USA.(1993).
Ignatyev, M., Makina, D., Petrischev, N., Poliakov, I., Ulrich, E., Gubin, A.: Global model of organism for decision making support. Proceedings of the High Performance Computing Symposium – HPC 2000, Ed. A. Tentner, 2000 Advanced Simulation Technologies Conference, Washington D.C. USA p.66-71(2000).
Ignatyev, M.B.: Linguo-combinatorial method for complex systems simulation. Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics, vol.XI, Computer science II, Orlando, USA p.224-227.(2002).
Ignatyev, M.B.: The study of Adaptation Phenomenon in Complex Systems. AIP Conference Proceedings, Melville, New York, vol.839, p.322-330.(2006).
Ignatyev, M.B.: Information technology in micro-, nano- and optoelectronics.(in Russian) Monograph, St-Petersburg, 200 p.(2008).
Ignatyev, M.B.: Cybernetical picture of world.(in Russian) St-Petersburg, 448 p.(2011).
Ignatyev, M.B.: Linguo-combinatorial simulation of complex systems. Journal of Mathematics and System Science, vol.2, Number 1, January 2012, p.58-66.(2012).
Ignatyv M.B. The simulation of complex biological systems. Book of Abstracts of ECCS’12, Brussels, pp. 116-117,(2012).
Bagrov J., Manusova N.: Disease from the point of view of evolution. Journal of Evolutionary Biochemistry and Physiology, Vol. 48, N 4, pp. 405-408, (2012).